OBJECTIVE To investigate the correlation of component content with colorimetric values during the roasting process of Ziziphus jujuba ， and to provide criteria for discriminating the roasting degree of Z. jujuba . METHODS Samples were prepared by dry stir-frying for different roasting times. The eight main components in raw Z. jujuba and the samples stir-fried for different roasting times-namely adenosine， magnoflorine， jujuboside A， spinosin， 6-feruloylspinosin， betulinic acid， oleic acid， and linoleic acid-were quantitativel y analyzed using ultra-performance liquid chromatography. The chromaticity values were determined using a UV spectrophotometer. The correlation and differences between the chromaticity values of Z. jujuba at different roasting times and their components content were analyzed by Pearson correlation analysis， linear regression analysis， principal component analysis （PCA） ， cluster heatmap analysis （CHA）， and partial least squares discriminant analysis （PLS-DA） to clarify the processing endpoint. RESULTS As the roasting time increased， the contents of linoleic acid and oleic acid decreased， while the contents of other components exhibited an increasing trend. Concurrently， the colorimetric value L* and E*ab were observed to decline， whereas the a* value demonstrated a gradual increase. Pearson correlation analysis revealed that L* and E*ab exhibited a significant negative correlation with the contents of adenosine， spinosin， 6-feruloylspinosin， jujuboside A， betulinic acid and magnoflorine （ P ＜0.05）. The results of linear regression analysis indicate that the content of six components, including adenosine， in the medicinal material can be preliminarily predicted by analyzing the colorimetric values of Z. jujuba powder. PCA and CHA successfully classified raw and stir-fried samples. The PLS-DA results indicated that L*， E*ab， a*， linoleic acid content， and oleic acid content were the main parameters that differentiated the color and quality of Z. jujuba at different roasting times. After frying for 9 to 10 minutes， the colorimetric values L* and E*ab decreased to their minimum values and stabilized， while a* remained consistently high with little variation；simultaneously， the concentrations of the six major components， excluding linoleic acid and oleic acid， reached their peak levels. CONCLUSIONS A significant correlation between the colorimetric values of Z. jujuba and the contents of six components， including adenosine， is confirmed. The optimal roasting time range is determined to be 9-10 minutes. Furthermore， the colorimetric value-component content correlation analysis method established in this study proved to be practical and applicable for discriminating the roasting degree of Z. jujuba .

AIM:To investigate the visual development of children under 6 years old in Wuhan, and provide evidence-based support for the formulation and optimization of regional policies for children's eye health care.METHODS:Suresight refractive screener was applied to rapid refractive status examination in 4 989 preschool children under 6 years old in Wuhan City, with results determined according to the manufacturer's age-specific referral criteria. All screened pre-school children completed vision screening and comprehensive ophthalmic examination.RESULTS: A total of 4 989 children under 6 years old were screened out, including 2 641 males and 2 348 females. They were divided into 6 groups according to age: 426 aged from 6-month to 1-year-old, 903 aged >1 to 2 years old, 1 078 aged >2 to 3 years old, 442 aged >3 to 4 years old, 808 aged >4 to 5 years old, and 1 332 aged >5 to 6 years old. The abnormal rate in the 6-month to 1-year-old group was 44.60%, in the >1 to 2 years old group was 26.02%, in the >2 to 3 years old group was 15.58%, in the >3 to 4 years old group was 10.86%, in the >4 to 5 years old group was 21.91%, in the >5 to 6 years old group was 23.27%, and the total refractive abnormal rate for children aged 6 mo to 6 years old was 22.61%. The refractive abnormal rate generally showed a decreasing trend with increasing age(P<0.001); the refractive abnormal rate in boys aged 6-month to 6 years old was 12.33%, and in girls was 10.28%, with no statistically significant difference in the abnormal rate between boys and girls(P>0.05); among children aged 6-month to 6 years old, the abnormal rate of single-eye myopia was 0.98%, of single-eye hyperopia was 5.41%, of single-eye astigmatism was 9.92%, of binocular myopia was 0.98%, of binocular hyperopia was 2.79%, and of binocular astigmatism was 8.14%; the prevalence of astigmatism in children aged 6-month to 1-year-old was 40.38%, in those aged >1 to 2 years old was 19.82%, in those aged >2 to 3 years old was 12.34%, in those aged >3 to 4 years old was 9.05%, in those aged >4 to 5 years old was 18.81%, and in those aged >5 to 6 years old was 16.89%; the prevalence of astigmatism in children aged 6-month to 6 years old was 18.06%. The abnormal rate of astigmatism in the four age groups ranging from 6-month to 4 years old decreased continuously with age(P<0.001). There was no statistically significant difference in the abnormal rate of astigmatism between the >4 to 5 years old group and the >5 to 6 years old group(P>0.05).CONCLUSION:Refractive error has become a common eye disease among preschool children. Through early vision screening, establishing a systematic refractive management file, and early intervention, the best treatment period can be seized to avoid missing it and causing adverse consequences.

ObjectiveTo investigate the independent predictive factors for 90-day mortality in patients with acute-on-chronic liver failure （ACLF）， to establish a risk predictive model， and to assess its predictive efficacy in comparison with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ. MethodsA retrospective analysis was performed for the clinical data of 394 patients with ACLF who were admitted to The Affiliated Hospital of Inner Mongolia Medical University and Hohhot Second Hospital from July 2018 to July 2024， and general information and laboratory markers on admission were collected from all patients. The independent-samples t test or the Mann-Whitney U test was used for comparison of quantitative data between two groups， and the chi-square test or the adjusted chi-square test was used for comparison of qualitative data between two groups. The LASSO regression analysis was used to identify related variables， and the multivariate logistic regression analysis was used to establish a predictive model and generate a nomogram. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， calibration curve， and clinical decision curve were used to assess the performance of the model. ResultsA total of 394 patients with ACLF were included in this study， with 136 patients in the training set， 58 in the internal validation set， and 200 in the external validation set. The cohort had a mean age of 52.9±11.7 years， among whom male patients accounted for 72.84% （287/394）， the patients with HBV infection accounted for 22.33% （88/394）， the patients with alcohol-related causes accounted for 45.94% （181/394）， and the patients with other causes （including drug-induced and autoimmune diseases） accounted for 31.73% （125/394）. The overall 90-day mortality rate was 27.41% （108/394）. The multivariate logistic regression analysis showed that diabetes （odds ratio ［OR］= 5.831， 95% confidence interval ［CI］： 1.587 — 21.424， P=0.008）， cystatin C （Cys-C） （OR=2.984， 95%CI： 1.501 — 5.933， P=0.002）， and spontaneous peritonitis （SBP） （OR=5.692， 95%CI： 2.150 — 15.071， P<0.001） were independent risk factors， and a nomogram was generated based on these factors. This model had an AUC of 0.836 in the training set， 0.881 in the internal validation set， and 0.878 in the external validation set， showing a good discriminatory ability. The calibration curve showed a good degree of fitting， with a relatively high net clinical benefit. The subgroup analysis based on etiology showed that the model had an AUC of 0.850 in the patients with HBV infection， 0.858 in the patients with alcohol-induced ACLF， and 0.908 in the patients with other etiologies， indicating that the model had a good discriminatory ability across the populations with different etiologies. Compared with traditional scores， the model （AUC=0.836） had a significantly better predictive value than MELD （AUC=0.619， Z=3.197， P=0.001）， MELD-Na （AUC=0.651， Z=2.998， P=0.003）， MELD 3.0 （AUC=0.601， Z=3.682， P<0.001）， and COSSH-ACLF Ⅱ （AUC=0.719， Z=2.396， P=0.017） alone. ConclusionDiabetes， SBP， and Cys-C are independent risk factors for 90-day mortality in patients with ACLF. Compared with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores， this model has a higher predictive value for 90-day prognosis in patients with ACLF and is suitable for patients with ACLF caused by various etiologies.

Objective To compare the radiation doses to adult patients from two types of computed tomography (CT) scanners at a hospital in Shanghai City, analyze the radiation dose to patients and impact factors, and provide data for reducing radiation dose in CT examinations. Methods Radiation parameters and radiation doses to adult patients from two types of CT scanners were investigated. Adult patients aged 15-<40 years and 40-70 years who underwent head, chest, abdomen, and lumbar spine CT examinations were randomly selected to collect their scanning data. Effective doses for different scanning regions and age groups were estimated using conversion formulas and compared. Results The CT scanning data of 160 adult patients from each type of CT scanners were collected. For scanner A, the 75th percentiles of volume CT dose index (CTDI_vol) of the head, chest, abdomen, and lumbar spine were 45, 4, 7, and 6 mGy; the 75th percentiles of dose-length product (DLP) were 726, 143, 373, and 179 mGy·cm; the 75th percentiles of effective dose were 1.5, 2.0, 5.6, and 2.7 mSv. For scanner B, the 75th percentiles of CTDI_vol of the head, chest, abdomen, and lumbar spine were 54, 6, 9, and 15 mGy; the 75th percentiles of DLP were 755, 215, 502, and 428 mGy·cm; the 75th percentiles of effective dose were 1.6, 3.0, 7.4, and 6.4 mSv. Conclusion The 75th percentiles of the CTDI_vol and DLP of all scanning regions were lower than the diagnostic reference levels for both types of scanners. Except for head DLP, scanner A demonstrated significantly lower CTDI_vol and DLP values than scanner B across all regions. The 75th percentiles of effective dose for head, chest, and abdomen examinations on both scanners did not exceed the corresponding values reported for patients in Hangzhou City.

OBJECTIVES: To investigate the effects of periodontitis induced by Prevotella nigrescens (Pn) combined with ligation on cognitive functions in mice. METHODS: Twenty-four C57BL/6J mice were randomly divided into control group, ligation group, and ligation + Pn treatment (P+Pn) group. Experimental periodontitis was induced by silk ligation of the first molars followed by topical application of Pn for 6 weeks. After modeling, alveolar bone resorption was assessed using micro-CT and histological analysis. Learning and memory abilities of the mice were evaluated using open field test (OFT), novel object recognition test (NORT), and Morris water maze test (MWM). Seven weeks after the start of modeling, the mice were sacrificed for examining histopathological changes in the hippocampus using HE and Nissl staining. RESULTS: After 6 weeks of molar ligation, micro-CT revealed horizontal alveolar bone resorption and furcation exposure in the mice, and histological analysis showed apical migration of the junctional epithelium, epithelial ridge hyperplasia, and lymphocyte infiltration, and these changes were obviously worsened in P+Pn group. Alveolar bone height decreased significantly in both ligation groups compared to the control group. Cognitive tests showed that the mice in both of the ligation groups traveled shorter distances in OFT, showed reduced novel object preference in NORT, and exhibited longer escape latencies in MWM, and the mice in P+Pn group had significantly poorer performances in the tests. Histologically, obvious neuronal cytoplasmic degeneration, necrosis, nuclear pyknosis, vacuolation, and reduced Nissl bodies and viable neurons were observed in the hippocampal regions of the mice in the two ligation groups. CONCLUSIONS Pn infection aggravates alveolar bone destruction, accelerates necrosis and causes morphological abnormalities of neuronal cells in the hippocampus to reduce cognitive functions of mice with periodontitis.
Animals ; Periodontitis/microbiology* ; Mice ; Mice, Inbred C57BL ; Cognition ; Alveolar Bone Loss ; Hippocampus/pathology* ; Male ; Inflammation ; Maze Learning

Background Exposure to air pollutants increases the risk of diseases in multiple systems, including respiratory and cardiovascular systems, yet its association with neurological diseases remains unclear. Objective To quantitatively evaluate the association between short-term exposure to air pollutants and outpatient and emergency visits for neurological diseases, identify potential susceptible populations, and quantify associated disease burden. Methods Daily 24-hour average concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), daily maximum 8-hour average concentration of ozone (O₃), daily meteorological data (24-hour average temperature, 24-hour average relative humidity), and data on daily outpatient and emergency department visits for neurological diseases from two hospitals in Conghua District, Guangzhou, China, were collected from 2015 to 2022. A time-stratified case-crossover design was adopted, and a conditional Poisson regression model was constructed to analyze the association between air pollution exposure and neurological disease visits. Two-pollutant models and sensitivity analysis were used to validate model stability. Stratified analyses by season (cold season: from November to March; warm season: from April to October), sex (male, female), and age (≤45 years, 46–60 years, ≥61 years) were performed to identify vulnerable group. Additionally, the number and proportion of neurological disease visits attributable to short-term air pollutant exposure were calculated. Results A total of 72 673 outpatient and emergency department visits for neurological diseases were included during the study period. Most of the patients were middle-aged and elderly individuals (69.89% were over 45 years old) and females (60.25%). The results of single-pollutant models showed that for each interquartile range (IQR) increase in exposure to PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃, the risk of outpatient and emergency department visits for neurological diseases increased by 7.54% (95%CI: 4.69%, 10.46%), 6.66% (95%CI: 3.92%, 9.46%), 16.72% (95%CI: 10.58%, 23.19%), 8.12% (95%CI: 4.82%, 11.53%), 5.60% (95%CI: 2.34%, 8.97%), and 6.11% (95%CI: 2.91%, 9.40%), respectively. The results of the two-pollutant model showed that the association between PM_2.5 and SO₂ exposure and outpatient and emergency department visits for neurological diseases were relatively stable. The stratified analyses showed that the effect of SO₂ was stronger in the cold season. It was estimated that 8.32% (95%CI: 5.55%, 10.96%) and 6.65% (95%CI: 4.27%, 8.96%) of the outpatient and emergency department visits were attributable to short-term exposure to SO₂ and PM_2.5, respectively. Conclusion Exposure to PM_2.5 and SO₂ is associated with increased risks of outpatient and emergency visits for neurological diseases. SO₂ shows stronger effects during the cold season, and exposure to air pollution contributes to up to 8.32% of neurological disease visits.

Objective:To investigate the relationship between gut microbiota characteristics and inflammatory factors with immune recovery in HIV-infected individuals，and to explore the role and clinical significance of gut microbiota in HIV immune recovery.Methods:Sixty HIV-infected individuals and twenty healthy controls（HC）were enrolled. Among them，twenty ones were HIV-infected individuals who had not received antiretroviral therapy（ART），and forty ones were HIV-infected individuals who had received ART for more than two years，including twenty immune responders（IR）and twenty immune non-responders（INR）. Fecal and blood samples were collected from participants. The gut microbiota in fecal samples was analyzed using 16 S rRNA sequencing，while plasma inflammatory factors were detected using Olink proteomics. The correlations between these factors and CD4 + T cell counts，CD4/CD8 ratios，as well as HIV DNA and HIV RNA were analyzed. Results:Compared with the HC group，gut microbiota α diversity in HIV-infected group was reduced，and the microbiota composition changed，with decreased abundance of Firmicutes and related genera，while the abundance of Bacteroidetes and Proteobacteria related genera increased. Compared with the IR group，the INR group showed increased abundance of the Bacteroidetes phylum and decreased abundance of the Firmicutes phylum. LEfSe analysis revealed enrichment of the Flavonifractor genus in the INR group and the Allisonella genus in the IR group. Flavonifractor was positively correlated with HIV DNA and HIV RNA ；Allisonella was positively correlated with CD4? T cell counts and negatively correlated with IL-6，CD8A，and TNF-α expression；and pro-inflammatory factors were positively correlated with the HIV viral reservoir. Conclusions:Reduced gut microbiota diversity and altered composition，as well as increased pro-inflammatory factors，are closely associated with immune recovery and disease progression in HIV-infected individuals.

Objective:The aim of this study was to assess the frailty status of patients with heart failure undergoing CRT-D and then explore the predictive value of frailty for all-cause mortality and heart failure-related readmissions in these patients.Methods:We retrospectively included 374 patients with chronic heart failure who underwent CRT-D treatment at the First Affiliated Hospital of Xinjiang Medical University between June 2020 and June 2024. Based on the Tilburg Debilitation Assessment Scale, 175 patients (46.8%) were classified as frail while 199 (53.2%) were classified as non-frail. The baseline data between the two groups was compared using Cox regression analysis and Kaplan-Meier curves were used for survival analysis. P-values of <0.05 indicated statistically significant differences. Results:A total of 374 patients aged 25-93 (68±11) years were enrolled in this study, 101 (27.0%) of which were female. Among these, 175 (46.8%) were categorized as frail, and 199 (53.2%) were classified as non-frail. Over a median follow-up time of 23 (5, 45) months, 35 (9.4%) patients experienced all-cause mortality, with 30 (17.1%) deaths occurring in the frail group and 5 (2.5%) in the non-frail group; meanwhile, readmission events due to heart failure occurred in a total of 174 (46.5%) patients, including 122 (70.1%) in the frail group, and 52 (29.9%) in the non-frail group. Cox analysis showed that frailty was a significant determinant of all-cause mortality ( HR=21.25, 95% CI 3.99-113.30, P<0.001) and readmission among heart failure patients receiving CRT-D ( HR=2.52, 95% CI 1.73-3.68, P<0.001). Log-rank tests showed that the survival rate of patients in the frail group was significantly lower than that of patients in the non-frail group ( HR=7.22, 95% CI 2.80-18.60, P<0.001) and the risk of readmission events due to heart failure was significantly higher among patients in the frail group than among those in the non-frail group ( HR=2.75, 95% CI 1.98-3.81, P<0.001). Conclusions:Frailty is an independent predictor of postoperative all-cause mortality and the occurrence of heart failure-related readmissions in patients with heart failure treated receiving CRT-D.

This study investigates the expression pattern and functional significance of EF-hand domain-containing protein 2 (EFHD2) in hepatocellular carcinoma (HCC), with particular focus on its regulatory effects on tumor proliferation, migration, and invasion. Cellular experimental study was completed from June 2024 to January 2025 in the Basic Laboratory of the General Hospital of Southern Theater Command. TCGA database to determine EFHD2 expression and its clinicopathological correlations. GSCA database to assess methylation patterns and immune infiltration. Model of transient overexpression and knockdown of EFHD2 was constructed in hepatocellular carcinoma cells Hep3B, then RT-qPCR and Western blot were applied to verify the transfection efficiency. CCK-8 and colony formation assays for proliferation assessment, Transwell chambers for migration/invasion quantification. Protein-protein interaction networks were constructed via STRING, followed by GO/KEGG enrichment analysis. Statistical analysis was performed using the two independent samples t-test. The results showed that EFHD2 demonstrated significant upregulation in HCC tissues versus normal controls ( P<0.05). Elevated EFHD2 expression correlated with advanced clinical stage ( P<0.05) and poor differentiation ( P<0.05). In the CCK-8 assay, the EFHD2 overexpression group demonstrated significantly higher cell viability than the control group, as evidenced by 450 nm relative absorbance values on Day 1 (0.529±0.019 vs. 0.515±0.016, F=0.041, P=0.320), Day 2 (1.356±0.019 vs. 1.094±0.042, F=3.833, P<0.001), Day 3 (2.817±0.049 vs. 2.143±0.124, F=3.833, P<0.001), and Day 4 (3.848±0.015 vs. 3.430±0.021, F=0.469, P<0.001). The EFHD2 knockdown group showed reduced cell viability compared to controls: Day 1 (0.541±0.020 vs. 0.552±0.015, F=0.098, P=0.423), Day 2 (1.154±0.009 vs. 1.326±0.029, F=2.485, P<0.001), Day 3 (2.453±0.041 vs. 2.653±0.031, F=0.479, P<0.001), and Day 4 (3.685±0.038 vs. 3.836±0.021, F=6.804, P<0.001). In colony formation assays, the overexpression group displayed a significant increase in colony numbers (254.667±23.861 vs. 186.000±16.703, F=0.865, P=0.015), whereas the knockdown group exhibited decreased colony formation (229.000±24.637 vs. 306.667±36.501, F=0.988, P=0.038). In Transwell assays, the EFHD2 overexpression group revealed enhanced migratory capacity [ (605.000±72.670) cells vs. (472.667±28.095) cells, F=2.462, P=0.042] and invasive potential [(767.333±21.221) cells vs. (414.333±16.623) cells, F=0.331, P<0.001]. The knockdown group showed attenuated migration [(311.000±71.084) cells vs. (479.667±50.846) cells, F=0.718, P=0.029] and invasion [(247.667±48.263) cells vs. (345.667±32.130) cells, F=0.727, P=0.043] compared to controls. The network of EFHD2-interacting proteins was further constructed by the STRING database, and the GO and KEGG analysis were used to perform bioinformatics analysis reveal that EFHD2 is mainly involved in actin cytoskeleton regulation. In conclusion, EFHD2 is highly expressed in HCC and is involved in the process of proliferation, migration and invasion of HCC.

Objective:To explore the correlation between the level of T-lymphocyte subsets in peripheral blood and the progression of Alzheimer′s disease (AD).Methods:A cross-sectional study was conducted, including 30 cases of amnestic mild cognitive impairment (aMCI; aMCI group), 30 cases of mild AD (Mi-D; Mi-D group), 30 cases of moderate AD (Mo-D; Mo-D group), who were diagnosed in the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from January to December 2023, and 30 normal controls (normal control group) matched by age and gender. The levels of T cell subsets in peripheral blood were detected by flow cytometry, and the subpopulations of CD4 +T cells, Th cells, were examined. Binary Logistic regression was used to explore the correlation between factors affecting patients′ cognitive function and the onset of AD, and Spearman′s correlation analysis was applied to assess the association between the level of peripheral blood immune cells and the severity of AD. Results:There were no statistically significant differences in peripheral blood CD4 +T cells ( F=1.762, P=0.158), CD8 +T cells ( F=0.370, P=0.775), CD4 +/CD8 +ratios ( F=1.976, P=0.121), and regulatory T cells (Tregs) levels ( F=0.232, P=0.874) among the aMCI group, Mi-D group, Mo-D group, and normal control group in the intergroup comparisons (all P>0.05). The study subjects were stratified according to gender, age, body mass index, and years of education affecting the cognitive function of AD patients, and the peripheral blood CD4 +T cells, CD8 +T cells, CD4 +/CD8 + ratios and Tregs levels showed no statistically significant differences among groups (all P>0.05). The results of binary Logistic regression analysis showed that the peripheral blood CD8 +T-cell level ( OR=1.131, 95% CI 1.009-1.268, P=0.035) was a risk factor for the onset of AD. Further analysis of peripheral blood CD4 +T cell subsets revealed that Th1 cell levels were lower in the aMCI group compared to the Mi-D group ( t=-2.354, P=0.036), and the Mo-D group ( t=-2.079, P=0.026). The results of the Spearman′s correlation analysis showed that peripheral blood Th1 cell level was positively correlated with AD progression ( r=0.192, P<0.05). Conclusions:AD patients show peripheral immune imbalance, peripheral blood CD8 +T-cell level is a risk factor for the onset of AD, and peripheral Th1 cell level is positively correlated with the severity of AD. Monitoring the changes in peripheral blood Th1 cell level may have a predictive value for the progression of AD.